Question

In: Statistics and Probability

Suppose that the probability that any random student graduates with honors is 0.05. Also, we know...

Suppose that the probability that any random student graduates with honors is 0.05. Also, we know that the probability of a student that graduated with honors, getting into graduate school is 0.80. The probability that a student that did not graduate with honors gets into graduate school is 0.10. TRUE or FALSE: Given that a random student got into graduate school, it is more likely that the student graduated with honors.

True

False

Solutions

Expert Solution

P(graduates with honors) = 0.05

P(gets into graduate school | graduated with honors) = 0.8

P(gets into graduate school | didn't graduate with honors) = 0.1

P(gets into graduate school) = P(gets into graduate school | graduated with honors) * P(graduated with honors) + P(gets into graduate school | didn't graduate with honors) * P( didn't graduate with honors)

                                              = 0.8 * 0.05 + 0.1 * (1 - 0.05)

                                              = 0.135

P(graduated with honors | got into graduate school) = P(gets into graduate school | graduated with honors) * P(graduated with honors) / P(gets into graduate school)

                                                   = 0.8 * 0.05 / 0.135

                                                   = 0.296

Option-B) False. Becase thi probability is less than 0.5


Related Solutions

Suppose that the probability that any random student graduates with honors is 0.07. Also, we know...
Suppose that the probability that any random student graduates with honors is 0.07. Also, we know that the probability of a student getting into grad school, given that they graduated with honors is 0.70. The probability of a student getting into grad school, given that they did not graduate with honors is 0.05. What is the probability that a student did not graduate with honors, given that the student did get in to graduate school? A. 0.0514 B. 0.487 C....
A student is taking an exam. Suppose that the probability that the student finishes the exam...
A student is taking an exam. Suppose that the probability that the student finishes the exam in less than x hours is x/2 for x∈[0,2]. Show that the conditional probability that the student does not finish the exam in one hour given that they are still working after 45 minutes is 0.8.
1.Suppose a student is trying to construct a rejection region with an area of 0.05 in...
1.Suppose a student is trying to construct a rejection region with an area of 0.05 in the right tail. What critical value should she use? Round your answer to three decimal places. 2. A researcher wants to test to see if husbands are significantly older than their wives. To do this, he collects the ages of husbands and pairs them with the ages of their respective wives for a random set of married couples. Suppose that data were collected for...
Suppose we know that a policy did not produce any change in a household’s real per...
Suppose we know that a policy did not produce any change in a household’s real per capita consumption expenditure. List at least five ways the policy might nonetheless have improved the household’s well-being. That is, suggest at least five stories regarding how the household’s circumstances might have changed, and how the household responded to those changes, that are consistent with the household’s well-being rising even while its per capita consumption expenditure remains constant.
Suppose we know that a policy did not produce any change in a household’s real per...
Suppose we know that a policy did not produce any change in a household’s real per capita consumption expenditure. List at least five ways the policy might nonetheless have improved the household’s well-being. That is, suggest at least five stories regarding how the household’s circumstances might have changed, and how the household responded to those changes, that are consistent with the household’s well-being rising even while its per capita consumption expenditure remains constant.
A student is making independent random guesses on a test. The probability the student guess correctly...
A student is making independent random guesses on a test. The probability the student guess correctly is 0.5 for each question. Assume that the guesses are independent. Find the probability of 13 or more correct in 20 guesses. Round your answer to 3 decimal places.
Suppose we know the population variance σ 2 =1600, there is a random sample with x̄...
Suppose we know the population variance σ 2 =1600, there is a random sample with x̄ =134, and the s ample size is n= 81. a) Please do the following test and draw your conclusion using the critical region method. In the question, please choose α=0.05 . Hint: what kind of tests you are going to use, one sample Z test or one sample t test? H 0: μ = 1 25 Vs H 1: μ ≠ 125 b) Please...
Suppose we know that a random variable X has a population mean µ = 400 with...
Suppose we know that a random variable X has a population mean µ = 400 with a standard deviation σ = 100. What are the following probabilities? (12 points) The probability that the sample mean is above 376 when n = 1600. The probability that the sample mean is above 376 when n = 400. The probability that the sample mean is above 376 when n = 100. The probability that the sample mean is above 376 when n =...
The average student loan debt for college graduates is $25,300. Suppose that that distribution is normal...
The average student loan debt for college graduates is $25,300. Suppose that that distribution is normal and that the standard deviation is $11,250. Let X = the student loan debt of a randomly selected college graduate. Round all probabilities to 4 decimal places and all dollar answers to the nearest dollar. a. What is the distribution of X? X ~ N(,) b Find the probability that the college graduate has between $7,500 and $18,100 in student loan debt. c. The...
The average student loan debt for college graduates is $25,850. Suppose that that distribution is normal...
The average student loan debt for college graduates is $25,850. Suppose that that distribution is normal and that the standard deviation is $13,750. Let X = the student loan debt of a randomly selected college graduate. Round all probabilities to 4 decimal places and all dollar answers to the nearest dollar. a. What is the distribution of X? X ~ N(,) b Find the probability that the college graduate has between $28,750 and $46,650 in student loan debt. c. The...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT